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degree and PhD degree in meteorology, oceanography, physics or mathematics, with a strong interest in the application of statistical and data analysis methods excellent knowledge in UNIX/Linux and Unix
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research outcomes to project stakeholders and the research community at meetings, conferences and by publishing in high-impact journals This position is within the Quantum Information Processing research
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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
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of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs (e.g., Teuken 7B, Llama 3, Mistral 7B) specifically
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track record of achievements will also be considered. Further information on the scientific interests of the SNQS group can be found at the group webpage. https://www.wsi.tum.de/views/groups.php?group
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the different components of the research agenda in terms of their strategy for impact and to help shape our agenda by developing further research ideas. Requirements: a doctoral degree (or expected completion
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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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the chance to actively help in shaping the change! We support you in your work with: Comprehensive training courses and individual opportunities for personal and professional further development
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physiological parameters An interest in data analysis and AI Collaborating with the POEM platform head as well as other postdocs and research groups in the interdisciplinary POEM network Integrating the findings
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seeks to increase the proportion of women in those areas where they are underrepresented, therefore applications from women are explicitly en-couraged. Data protection As part of your application for a